Transcript of a BriefingsDirect on the need to tap the potential of big data to improve healthcare delivery and how the technology to do that is currently lagging.
BlueVia is a developer platform from Telefonica that allows developers to build apps and services using Telefonica's network capabilities and customer base. It provides several APIs that enable messaging, advertising, payments, and other functions. BlueVia offers revenue sharing models where developers earn percentages of sales, subscriptions, and transaction fees. It aims to make it easy for developers to build scalable digital services and monetize their apps through Telefonica's large customer network.
The document discusses six emerging trends in business analytics:
1. Humans and machines will increasingly work together in complementary roles, with machines handling tasks like data processing and humans focusing on creativity, empathy, and oversight of machine performance.
2. Analytics capabilities are expanding across entire organizations, moving from isolated initiatives to enterprise-wide strategies aimed at creating "insight-driven organizations."
3. Cybersecurity is becoming more important and proactive, utilizing predictive analytics to anticipate threats rather than just reacting to attacks.
4. The Internet of Things is expanding to include people and generating new business models by aggregating and analyzing behavioral data.
5. Companies are getting creative in addressing talent shortages, collaborating more closely
2024 State of Marketing Report – by HubspotMarius Sescu
https://www.hubspot.com/state-of-marketing
· Scaling relationships and proving ROI
· Social media is the place for search, sales, and service
· Authentic influencer partnerships fuel brand growth
· The strongest connections happen via call, click, chat, and camera.
· Time saved with AI leads to more creative work
· Seeking: A single source of truth
· TLDR; Get on social, try AI, and align your systems.
· More human marketing, powered by robots
ChatGPT is a revolutionary addition to the world since its introduction in 2022. A big shift in the sector of information gathering and processing happened because of this chatbot. What is the story of ChatGPT? How is the bot responding to prompts and generating contents? Swipe through these slides prepared by Expeed Software, a web development company regarding the development and technical intricacies of ChatGPT!
Product Design Trends in 2024 | Teenage EngineeringsPixeldarts
The realm of product design is a constantly changing environment where technology and style intersect. Every year introduces fresh challenges and exciting trends that mold the future of this captivating art form. In this piece, we delve into the significant trends set to influence the look and functionality of product design in the year 2024.
How Race, Age and Gender Shape Attitudes Towards Mental HealthThinkNow
Mental health has been in the news quite a bit lately. Dozens of U.S. states are currently suing Meta for contributing to the youth mental health crisis by inserting addictive features into their products, while the U.S. Surgeon General is touring the nation to bring awareness to the growing epidemic of loneliness and isolation. The country has endured periods of low national morale, such as in the 1970s when high inflation and the energy crisis worsened public sentiment following the Vietnam War. The current mood, however, feels different. Gallup recently reported that national mental health is at an all-time low, with few bright spots to lift spirits.
To better understand how Americans are feeling and their attitudes towards mental health in general, ThinkNow conducted a nationally representative quantitative survey of 1,500 respondents and found some interesting differences among ethnic, age and gender groups.
Technology
For example, 52% agree that technology and social media have a negative impact on mental health, but when broken out by race, 61% of Whites felt technology had a negative effect, and only 48% of Hispanics thought it did.
While technology has helped us keep in touch with friends and family in faraway places, it appears to have degraded our ability to connect in person. Staying connected online is a double-edged sword since the same news feed that brings us pictures of the grandkids and fluffy kittens also feeds us news about the wars in Israel and Ukraine, the dysfunction in Washington, the latest mass shooting and the climate crisis.
Hispanics may have a built-in defense against the isolation technology breeds, owing to their large, multigenerational households, strong social support systems, and tendency to use social media to stay connected with relatives abroad.
Age and Gender
When asked how individuals rate their mental health, men rate it higher than women by 11 percentage points, and Baby Boomers rank it highest at 83%, saying it’s good or excellent vs. 57% of Gen Z saying the same.
Gen Z spends the most amount of time on social media, so the notion that social media negatively affects mental health appears to be correlated. Unfortunately, Gen Z is also the generation that’s least comfortable discussing mental health concerns with healthcare professionals. Only 40% of them state they’re comfortable discussing their issues with a professional compared to 60% of Millennials and 65% of Boomers.
Race Affects Attitudes
As seen in previous research conducted by ThinkNow, Asian Americans lag other groups when it comes to awareness of mental health issues. Twenty-four percent of Asian Americans believe that having a mental health issue is a sign of weakness compared to the 16% average for all groups. Asians are also considerably less likely to be aware of mental health services in their communities (42% vs. 55%) and most likely to seek out information on social media (51% vs. 35%).
AI Trends in Creative Operations 2024 by Artwork Flow.pdfmarketingartwork
Creative operations teams expect increased AI use in 2024. Currently, over half of tasks are not AI-enabled, but this is expected to decrease in the coming year. ChatGPT is the most popular AI tool currently. Business leaders are more actively exploring AI benefits than individual contributors. Most respondents do not believe AI will impact workforce size in 2024. However, some inhibitions still exist around AI accuracy and lack of understanding. Creatives primarily want to use AI to save time on mundane tasks and boost productivity.
Organizational culture includes values, norms, systems, symbols, language, assumptions, beliefs, and habits that influence employee behaviors and how people interpret those behaviors. It is important because culture can help or hinder a company's success. Some key aspects of Netflix's culture that help it achieve results include hiring smartly so every position has stars, focusing on attitude over just aptitude, and having a strict policy against peacocks, whiners, and jerks.
BlueVia is a developer platform from Telefonica that allows developers to build apps and services using Telefonica's network capabilities and customer base. It provides several APIs that enable messaging, advertising, payments, and other functions. BlueVia offers revenue sharing models where developers earn percentages of sales, subscriptions, and transaction fees. It aims to make it easy for developers to build scalable digital services and monetize their apps through Telefonica's large customer network.
The document discusses six emerging trends in business analytics:
1. Humans and machines will increasingly work together in complementary roles, with machines handling tasks like data processing and humans focusing on creativity, empathy, and oversight of machine performance.
2. Analytics capabilities are expanding across entire organizations, moving from isolated initiatives to enterprise-wide strategies aimed at creating "insight-driven organizations."
3. Cybersecurity is becoming more important and proactive, utilizing predictive analytics to anticipate threats rather than just reacting to attacks.
4. The Internet of Things is expanding to include people and generating new business models by aggregating and analyzing behavioral data.
5. Companies are getting creative in addressing talent shortages, collaborating more closely
2024 State of Marketing Report – by HubspotMarius Sescu
https://www.hubspot.com/state-of-marketing
· Scaling relationships and proving ROI
· Social media is the place for search, sales, and service
· Authentic influencer partnerships fuel brand growth
· The strongest connections happen via call, click, chat, and camera.
· Time saved with AI leads to more creative work
· Seeking: A single source of truth
· TLDR; Get on social, try AI, and align your systems.
· More human marketing, powered by robots
ChatGPT is a revolutionary addition to the world since its introduction in 2022. A big shift in the sector of information gathering and processing happened because of this chatbot. What is the story of ChatGPT? How is the bot responding to prompts and generating contents? Swipe through these slides prepared by Expeed Software, a web development company regarding the development and technical intricacies of ChatGPT!
Product Design Trends in 2024 | Teenage EngineeringsPixeldarts
The realm of product design is a constantly changing environment where technology and style intersect. Every year introduces fresh challenges and exciting trends that mold the future of this captivating art form. In this piece, we delve into the significant trends set to influence the look and functionality of product design in the year 2024.
How Race, Age and Gender Shape Attitudes Towards Mental HealthThinkNow
Mental health has been in the news quite a bit lately. Dozens of U.S. states are currently suing Meta for contributing to the youth mental health crisis by inserting addictive features into their products, while the U.S. Surgeon General is touring the nation to bring awareness to the growing epidemic of loneliness and isolation. The country has endured periods of low national morale, such as in the 1970s when high inflation and the energy crisis worsened public sentiment following the Vietnam War. The current mood, however, feels different. Gallup recently reported that national mental health is at an all-time low, with few bright spots to lift spirits.
To better understand how Americans are feeling and their attitudes towards mental health in general, ThinkNow conducted a nationally representative quantitative survey of 1,500 respondents and found some interesting differences among ethnic, age and gender groups.
Technology
For example, 52% agree that technology and social media have a negative impact on mental health, but when broken out by race, 61% of Whites felt technology had a negative effect, and only 48% of Hispanics thought it did.
While technology has helped us keep in touch with friends and family in faraway places, it appears to have degraded our ability to connect in person. Staying connected online is a double-edged sword since the same news feed that brings us pictures of the grandkids and fluffy kittens also feeds us news about the wars in Israel and Ukraine, the dysfunction in Washington, the latest mass shooting and the climate crisis.
Hispanics may have a built-in defense against the isolation technology breeds, owing to their large, multigenerational households, strong social support systems, and tendency to use social media to stay connected with relatives abroad.
Age and Gender
When asked how individuals rate their mental health, men rate it higher than women by 11 percentage points, and Baby Boomers rank it highest at 83%, saying it’s good or excellent vs. 57% of Gen Z saying the same.
Gen Z spends the most amount of time on social media, so the notion that social media negatively affects mental health appears to be correlated. Unfortunately, Gen Z is also the generation that’s least comfortable discussing mental health concerns with healthcare professionals. Only 40% of them state they’re comfortable discussing their issues with a professional compared to 60% of Millennials and 65% of Boomers.
Race Affects Attitudes
As seen in previous research conducted by ThinkNow, Asian Americans lag other groups when it comes to awareness of mental health issues. Twenty-four percent of Asian Americans believe that having a mental health issue is a sign of weakness compared to the 16% average for all groups. Asians are also considerably less likely to be aware of mental health services in their communities (42% vs. 55%) and most likely to seek out information on social media (51% vs. 35%).
AI Trends in Creative Operations 2024 by Artwork Flow.pdfmarketingartwork
Creative operations teams expect increased AI use in 2024. Currently, over half of tasks are not AI-enabled, but this is expected to decrease in the coming year. ChatGPT is the most popular AI tool currently. Business leaders are more actively exploring AI benefits than individual contributors. Most respondents do not believe AI will impact workforce size in 2024. However, some inhibitions still exist around AI accuracy and lack of understanding. Creatives primarily want to use AI to save time on mundane tasks and boost productivity.
Organizational culture includes values, norms, systems, symbols, language, assumptions, beliefs, and habits that influence employee behaviors and how people interpret those behaviors. It is important because culture can help or hinder a company's success. Some key aspects of Netflix's culture that help it achieve results include hiring smartly so every position has stars, focusing on attitude over just aptitude, and having a strict policy against peacocks, whiners, and jerks.
"Frontline Battles with DDoS: Best practices and Lessons Learned", Igor IvaniukFwdays
At this talk we will discuss DDoS protection tools and best practices, discuss network architectures and what AWS has to offer. Also, we will look into one of the largest DDoS attacks on Ukrainian infrastructure that happened in February 2022. We'll see, what techniques helped to keep the web resources available for Ukrainians and how AWS improved DDoS protection for all customers based on Ukraine experience
What is an RPA CoE? Session 1 – CoE VisionDianaGray10
In the first session, we will review the organization's vision and how this has an impact on the COE Structure.
Topics covered:
• The role of a steering committee
• How do the organization’s priorities determine CoE Structure?
Speaker:
Chris Bolin, Senior Intelligent Automation Architect Anika Systems
How information systems are built or acquired puts information, which is what they should be about, in a secondary place. Our language adapted accordingly, and we no longer talk about information systems but applications. Applications evolved in a way to break data into diverse fragments, tightly coupled with applications and expensive to integrate. The result is technical debt, which is re-paid by taking even bigger "loans", resulting in an ever-increasing technical debt. Software engineering and procurement practices work in sync with market forces to maintain this trend. This talk demonstrates how natural this situation is. The question is: can something be done to reverse the trend?
Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
Which one is cheapest? Which one is fastest? Which one will scale to meet our needs?
Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!
Session 1 - Intro to Robotic Process Automation.pdfUiPathCommunity
👉 Check out our full 'Africa Series - Automation Student Developers (EN)' page to register for the full program:
https://bit.ly/Automation_Student_Kickstart
In this session, we shall introduce you to the world of automation, the UiPath Platform, and guide you on how to install and setup UiPath Studio on your Windows PC.
📕 Detailed agenda:
What is RPA? Benefits of RPA?
RPA Applications
The UiPath End-to-End Automation Platform
UiPath Studio CE Installation and Setup
💻 Extra training through UiPath Academy:
Introduction to Automation
UiPath Business Automation Platform
Explore automation development with UiPath Studio
👉 Register here for our upcoming Session 2 on June 20: Introduction to UiPath Studio Fundamentals: https://community.uipath.com/events/details/uipath-lagos-presents-session-2-introduction-to-uipath-studio-fundamentals/
AppSec PNW: Android and iOS Application Security with MobSFAjin Abraham
Mobile Security Framework - MobSF is a free and open source automated mobile application security testing environment designed to help security engineers, researchers, developers, and penetration testers to identify security vulnerabilities, malicious behaviours and privacy concerns in mobile applications using static and dynamic analysis. It supports all the popular mobile application binaries and source code formats built for Android and iOS devices. In addition to automated security assessment, it also offers an interactive testing environment to build and execute scenario based test/fuzz cases against the application.
This talk covers:
Using MobSF for static analysis of mobile applications.
Interactive dynamic security assessment of Android and iOS applications.
Solving Mobile app CTF challenges.
Reverse engineering and runtime analysis of Mobile malware.
How to shift left and integrate MobSF/mobsfscan SAST and DAST in your build pipeline.
Essentials of Automations: Exploring Attributes & Automation ParametersSafe Software
Building automations in FME Flow can save time, money, and help businesses scale by eliminating data silos and providing data to stakeholders in real-time. One essential component to orchestrating complex automations is the use of attributes & automation parameters (both formerly known as “keys”). In fact, it’s unlikely you’ll ever build an Automation without using these components, but what exactly are they?
Attributes & automation parameters enable the automation author to pass data values from one automation component to the next. During this webinar, our FME Flow Specialists will cover leveraging the three types of these output attributes & parameters in FME Flow: Event, Custom, and Automation. As a bonus, they’ll also be making use of the Split-Merge Block functionality.
You’ll leave this webinar with a better understanding of how to maximize the potential of automations by making use of attributes & automation parameters, with the ultimate goal of setting your enterprise integration workflows up on autopilot.
High performance Serverless Java on AWS- GoTo Amsterdam 2024Vadym Kazulkin
Java is for many years one of the most popular programming languages, but it used to have hard times in the Serverless community. Java is known for its high cold start times and high memory footprint, comparing to other programming languages like Node.js and Python. In this talk I'll look at the general best practices and techniques we can use to decrease memory consumption, cold start times for Java Serverless development on AWS including GraalVM (Native Image) and AWS own offering SnapStart based on Firecracker microVM snapshot and restore and CRaC (Coordinated Restore at Checkpoint) runtime hooks. I'll also provide a lot of benchmarking on Lambda functions trying out various deployment package sizes, Lambda memory settings, Java compilation options and HTTP (a)synchronous clients and measure their impact on cold and warm start times.
Fueling AI with Great Data with Airbyte WebinarZilliz
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
"Scaling RAG Applications to serve millions of users", Kevin GoedeckeFwdays
How we managed to grow and scale a RAG application from zero to thousands of users in 7 months. Lessons from technical challenges around managing high load for LLMs, RAGs and Vector databases.
Must Know Postgres Extension for DBA and Developer during MigrationMydbops
Mydbops Opensource Database Meetup 16
Topic: Must-Know PostgreSQL Extensions for Developers and DBAs During Migration
Speaker: Deepak Mahto, Founder of DataCloudGaze Consulting
Date & Time: 8th June | 10 AM - 1 PM IST
Venue: Bangalore International Centre, Bangalore
Abstract: Discover how PostgreSQL extensions can be your secret weapon! This talk explores how key extensions enhance database capabilities and streamline the migration process for users moving from other relational databases like Oracle.
Key Takeaways:
* Learn about crucial extensions like oracle_fdw, pgtt, and pg_audit that ease migration complexities.
* Gain valuable strategies for implementing these extensions in PostgreSQL to achieve license freedom.
* Discover how these key extensions can empower both developers and DBAs during the migration process.
* Don't miss this chance to gain practical knowledge from an industry expert and stay updated on the latest open-source database trends.
Mydbops Managed Services specializes in taking the pain out of database management while optimizing performance. Since 2015, we have been providing top-notch support and assistance for the top three open-source databases: MySQL, MongoDB, and PostgreSQL.
Our team offers a wide range of services, including assistance, support, consulting, 24/7 operations, and expertise in all relevant technologies. We help organizations improve their database's performance, scalability, efficiency, and availability.
Contact us: info@mydbops.com
Visit: https://www.mydbops.com/
Follow us on LinkedIn: https://in.linkedin.com/company/mydbops
For more details and updates, please follow up the below links.
Meetup Page : https://www.meetup.com/mydbops-databa...
Twitter: https://twitter.com/mydbopsofficial
Blogs: https://www.mydbops.com/blog/
Facebook(Meta): https://www.facebook.com/mydbops/
Monitoring and Managing Anomaly Detection on OpenShift.pdfTosin Akinosho
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
PEPSICO Presentation to CAGNY Conference Feb 2024Neil Kimberley
PepsiCo provided a safe harbor statement noting that any forward-looking statements are based on currently available information and are subject to risks and uncertainties. It also provided information on non-GAAP measures and directing readers to its website for disclosure and reconciliation. The document then discussed PepsiCo's business overview, including that it is a global beverage and convenient food company with iconic brands, $91 billion in net revenue in 2023, and nearly $14 billion in core operating profit. It operates through a divisional structure with a focus on local consumers.
Content Methodology: A Best Practices Report (Webinar)contently
This document provides an overview of content methodology best practices. It defines content methodology as establishing objectives, KPIs, and a culture of continuous learning and iteration. An effective methodology focuses on connecting with audiences, creating optimal content, and optimizing processes. It also discusses why a methodology is needed due to the competitive landscape, proliferation of channels, and opportunities for improvement. Components of an effective methodology include defining objectives and KPIs, audience analysis, identifying opportunities, and evaluating resources. The document concludes with recommendations around creating a content plan, testing and optimizing content over 90 days.
"Frontline Battles with DDoS: Best practices and Lessons Learned", Igor IvaniukFwdays
At this talk we will discuss DDoS protection tools and best practices, discuss network architectures and what AWS has to offer. Also, we will look into one of the largest DDoS attacks on Ukrainian infrastructure that happened in February 2022. We'll see, what techniques helped to keep the web resources available for Ukrainians and how AWS improved DDoS protection for all customers based on Ukraine experience
What is an RPA CoE? Session 1 – CoE VisionDianaGray10
In the first session, we will review the organization's vision and how this has an impact on the COE Structure.
Topics covered:
• The role of a steering committee
• How do the organization’s priorities determine CoE Structure?
Speaker:
Chris Bolin, Senior Intelligent Automation Architect Anika Systems
How information systems are built or acquired puts information, which is what they should be about, in a secondary place. Our language adapted accordingly, and we no longer talk about information systems but applications. Applications evolved in a way to break data into diverse fragments, tightly coupled with applications and expensive to integrate. The result is technical debt, which is re-paid by taking even bigger "loans", resulting in an ever-increasing technical debt. Software engineering and procurement practices work in sync with market forces to maintain this trend. This talk demonstrates how natural this situation is. The question is: can something be done to reverse the trend?
Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
Which one is cheapest? Which one is fastest? Which one will scale to meet our needs?
Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!
Session 1 - Intro to Robotic Process Automation.pdfUiPathCommunity
👉 Check out our full 'Africa Series - Automation Student Developers (EN)' page to register for the full program:
https://bit.ly/Automation_Student_Kickstart
In this session, we shall introduce you to the world of automation, the UiPath Platform, and guide you on how to install and setup UiPath Studio on your Windows PC.
📕 Detailed agenda:
What is RPA? Benefits of RPA?
RPA Applications
The UiPath End-to-End Automation Platform
UiPath Studio CE Installation and Setup
💻 Extra training through UiPath Academy:
Introduction to Automation
UiPath Business Automation Platform
Explore automation development with UiPath Studio
👉 Register here for our upcoming Session 2 on June 20: Introduction to UiPath Studio Fundamentals: https://community.uipath.com/events/details/uipath-lagos-presents-session-2-introduction-to-uipath-studio-fundamentals/
AppSec PNW: Android and iOS Application Security with MobSFAjin Abraham
Mobile Security Framework - MobSF is a free and open source automated mobile application security testing environment designed to help security engineers, researchers, developers, and penetration testers to identify security vulnerabilities, malicious behaviours and privacy concerns in mobile applications using static and dynamic analysis. It supports all the popular mobile application binaries and source code formats built for Android and iOS devices. In addition to automated security assessment, it also offers an interactive testing environment to build and execute scenario based test/fuzz cases against the application.
This talk covers:
Using MobSF for static analysis of mobile applications.
Interactive dynamic security assessment of Android and iOS applications.
Solving Mobile app CTF challenges.
Reverse engineering and runtime analysis of Mobile malware.
How to shift left and integrate MobSF/mobsfscan SAST and DAST in your build pipeline.
Essentials of Automations: Exploring Attributes & Automation ParametersSafe Software
Building automations in FME Flow can save time, money, and help businesses scale by eliminating data silos and providing data to stakeholders in real-time. One essential component to orchestrating complex automations is the use of attributes & automation parameters (both formerly known as “keys”). In fact, it’s unlikely you’ll ever build an Automation without using these components, but what exactly are they?
Attributes & automation parameters enable the automation author to pass data values from one automation component to the next. During this webinar, our FME Flow Specialists will cover leveraging the three types of these output attributes & parameters in FME Flow: Event, Custom, and Automation. As a bonus, they’ll also be making use of the Split-Merge Block functionality.
You’ll leave this webinar with a better understanding of how to maximize the potential of automations by making use of attributes & automation parameters, with the ultimate goal of setting your enterprise integration workflows up on autopilot.
High performance Serverless Java on AWS- GoTo Amsterdam 2024Vadym Kazulkin
Java is for many years one of the most popular programming languages, but it used to have hard times in the Serverless community. Java is known for its high cold start times and high memory footprint, comparing to other programming languages like Node.js and Python. In this talk I'll look at the general best practices and techniques we can use to decrease memory consumption, cold start times for Java Serverless development on AWS including GraalVM (Native Image) and AWS own offering SnapStart based on Firecracker microVM snapshot and restore and CRaC (Coordinated Restore at Checkpoint) runtime hooks. I'll also provide a lot of benchmarking on Lambda functions trying out various deployment package sizes, Lambda memory settings, Java compilation options and HTTP (a)synchronous clients and measure their impact on cold and warm start times.
Fueling AI with Great Data with Airbyte WebinarZilliz
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
"Scaling RAG Applications to serve millions of users", Kevin GoedeckeFwdays
How we managed to grow and scale a RAG application from zero to thousands of users in 7 months. Lessons from technical challenges around managing high load for LLMs, RAGs and Vector databases.
Must Know Postgres Extension for DBA and Developer during MigrationMydbops
Mydbops Opensource Database Meetup 16
Topic: Must-Know PostgreSQL Extensions for Developers and DBAs During Migration
Speaker: Deepak Mahto, Founder of DataCloudGaze Consulting
Date & Time: 8th June | 10 AM - 1 PM IST
Venue: Bangalore International Centre, Bangalore
Abstract: Discover how PostgreSQL extensions can be your secret weapon! This talk explores how key extensions enhance database capabilities and streamline the migration process for users moving from other relational databases like Oracle.
Key Takeaways:
* Learn about crucial extensions like oracle_fdw, pgtt, and pg_audit that ease migration complexities.
* Gain valuable strategies for implementing these extensions in PostgreSQL to achieve license freedom.
* Discover how these key extensions can empower both developers and DBAs during the migration process.
* Don't miss this chance to gain practical knowledge from an industry expert and stay updated on the latest open-source database trends.
Mydbops Managed Services specializes in taking the pain out of database management while optimizing performance. Since 2015, we have been providing top-notch support and assistance for the top three open-source databases: MySQL, MongoDB, and PostgreSQL.
Our team offers a wide range of services, including assistance, support, consulting, 24/7 operations, and expertise in all relevant technologies. We help organizations improve their database's performance, scalability, efficiency, and availability.
Contact us: info@mydbops.com
Visit: https://www.mydbops.com/
Follow us on LinkedIn: https://in.linkedin.com/company/mydbops
For more details and updates, please follow up the below links.
Meetup Page : https://www.meetup.com/mydbops-databa...
Twitter: https://twitter.com/mydbopsofficial
Blogs: https://www.mydbops.com/blog/
Facebook(Meta): https://www.facebook.com/mydbops/
Monitoring and Managing Anomaly Detection on OpenShift.pdfTosin Akinosho
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
PEPSICO Presentation to CAGNY Conference Feb 2024Neil Kimberley
PepsiCo provided a safe harbor statement noting that any forward-looking statements are based on currently available information and are subject to risks and uncertainties. It also provided information on non-GAAP measures and directing readers to its website for disclosure and reconciliation. The document then discussed PepsiCo's business overview, including that it is a global beverage and convenient food company with iconic brands, $91 billion in net revenue in 2023, and nearly $14 billion in core operating profit. It operates through a divisional structure with a focus on local consumers.
Content Methodology: A Best Practices Report (Webinar)contently
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How to Prepare For a Successful Job Search for 2024Albert Qian
The document provides guidance on preparing a job search for 2024. It discusses the state of the job market, focusing on growth in AI and healthcare but also continued layoffs. It recommends figuring out what you want to do by researching interests and skills, then conducting informational interviews. The job search should involve building a personal brand on LinkedIn, actively applying to jobs, tailoring resumes and interviews, maintaining job hunting as a habit, and continuing self-improvement. Once hired, the document advises setting new goals and keeping skills and networking active in case of future opportunities.
A report by thenetworkone and Kurio.
The contributing experts and agencies are (in an alphabetical order): Sylwia Rytel, Social Media Supervisor, 180heartbeats + JUNG v MATT (PL), Sharlene Jenner, Vice President - Director of Engagement Strategy, Abelson Taylor (USA), Alex Casanovas, Digital Director, Atrevia (ES), Dora Beilin, Senior Social Strategist, Barrett Hoffher (USA), Min Seo, Campaign Director, Brand New Agency (KR), Deshé M. Gully, Associate Strategist, Day One Agency (USA), Francesca Trevisan, Strategist, Different (IT), Trevor Crossman, CX and Digital Transformation Director; Olivia Hussey, Strategic Planner; Simi Srinarula, Social Media Manager, The Hallway (AUS), James Hebbert, Managing Director, Hylink (CN / UK), Mundy Álvarez, Planning Director; Pedro Rojas, Social Media Manager; Pancho González, CCO, Inbrax (CH), Oana Oprea, Head of Digital Planning, Jam Session Agency (RO), Amy Bottrill, Social Account Director, Launch (UK), Gaby Arriaga, Founder, Leonardo1452 (MX), Shantesh S Row, Creative Director, Liwa (UAE), Rajesh Mehta, Chief Strategy Officer; Dhruv Gaur, Digital Planning Lead; Leonie Mergulhao, Account Supervisor - Social Media & PR, Medulla (IN), Aurelija Plioplytė, Head of Digital & Social, Not Perfect (LI), Daiana Khaidargaliyeva, Account Manager, Osaka Labs (UK / USA), Stefanie Söhnchen, Vice President Digital, PIABO Communications (DE), Elisabeth Winiartati, Managing Consultant, Head of Global Integrated Communications; Lydia Aprina, Account Manager, Integrated Marketing and Communications; Nita Prabowo, Account Manager, Integrated Marketing and Communications; Okhi, Web Developer, PNTR Group (ID), Kei Obusan, Insights Director; Daffi Ranandi, Insights Manager, Radarr (SG), Gautam Reghunath, Co-founder & CEO, Talented (IN), Donagh Humphreys, Head of Social and Digital Innovation, THINKHOUSE (IRE), Sarah Yim, Strategy Director, Zulu Alpha Kilo (CA).
Trends In Paid Search: Navigating The Digital Landscape In 2024Search Engine Journal
The search marketing landscape is evolving rapidly with new technologies, and professionals, like you, rely on innovative paid search strategies to meet changing demands.
It’s important that you’re ready to implement new strategies in 2024.
Check this out and learn the top trends in paid search advertising that are expected to gain traction, so you can drive higher ROI more efficiently in 2024.
You’ll learn:
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- Emerging ad formats that are expected to make an impact next year.
Watch Sreekant Lanka from iQuanti and Irina Klein from OneMain Financial as they dive into the future of paid search and explore the trends, strategies, and technologies that will shape the search marketing landscape.
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5 Public speaking tips from TED - Visualized summarySpeakerHub
From their humble beginnings in 1984, TED has grown into the world’s most powerful amplifier for speakers and thought-leaders to share their ideas. They have over 2,400 filmed talks (not including the 30,000+ TEDx videos) freely available online, and have hosted over 17,500 events around the world.
With over one billion views in a year, it’s no wonder that so many speakers are looking to TED for ideas on how to share their message more effectively.
The article “5 Public-Speaking Tips TED Gives Its Speakers”, by Carmine Gallo for Forbes, gives speakers five practical ways to connect with their audience, and effectively share their ideas on stage.
Whether you are gearing up to get on a TED stage yourself, or just want to master the skills that so many of their speakers possess, these tips and quotes from Chris Anderson, the TED Talks Curator, will encourage you to make the most impactful impression on your audience.
See the full article and more summaries like this on SpeakerHub here: https://speakerhub.com/blog/5-presentation-tips-ted-gives-its-speakers
See the original article on Forbes here:
http://www.forbes.com/forbes/welcome/?toURL=http://www.forbes.com/sites/carminegallo/2016/05/06/5-public-speaking-tips-ted-gives-its-speakers/&refURL=&referrer=#5c07a8221d9b
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For individuals, now is the time to pinpoint the skills the future professional will need to thrive in the AI age.
Check out this presentation to understand what ChatGPT is, how it will shape the future of work, and how you can prepare to take advantage.
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- Learning about different roles and technologies through industry research.
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A brief introduction to DataScience with explaining of the concepts, algorithms, machine learning, supervised and unsupervised learning, clustering, statistics, data preprocessing, real-world applications etc.
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The six step guide to practical project managementMindGenius
The six step guide to practical project management
If you think managing projects is too difficult, think again.
We’ve stripped back project management processes to the
basics – to make it quicker and easier, without sacrificing
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During this webinar, Anand Bagmar demonstrates how AI tools such as ChatGPT can be applied to various stages of the software development life cycle (SDLC) using an eCommerce application case study. Find the on-demand recording and more info at https://applitools.info/b59
Key takeaways:
• Learn how to use ChatGPT to add AI power to your testing and test automation
• Understand the limitations of the technology and where human expertise is crucial
• Gain insight into different AI-based tools
• Adopt AI-based tools to stay relevant and optimize work for developers and testers
* ChatGPT and OpenAI belong to OpenAI, L.L.C.
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Healthcare Providers Turn to New Data Analytics Platforms and Services to Gain Insight and Awareness for Improved Patient Outcomes
1. Healthcare Providers Turn to New Data Analytics Platforms
and Services to Gain Insight and Awareness for Improved
Patient Outcomes
Transcript of a BriefingsDirect on the need to tap the potential of big data to improve healthcare
delivery and how the technology to do that is currently lagging.
Listen to the podcast. Find it on iTunes. Sponsor: HP
Dana Gardner: Hello, and welcome to the next edition of the HP Discover Performance
Podcast Series. I'm Dana Gardner, Principal Analyst at Interarbor Solutions, your host and
moderator for this ongoing discussion of IT innovation and how it's making an
impact on people’s lives.
Gardner
Once again, we’re focusing on how IT leaders are improving their services to
deliver better experiences and payoffs for businesses and end users alike. I’m
now joined by our co-host for this sponsored series, Chief Software Evangelist at
HP, Paul Muller. Welcome Paul, how are you today?
Paul Muller: Fighting fit, and healthy Dana, yourself?
Gardner: Glad to hear it. I’m doing very well, thanks. Well we’re going to examine the impact
that big-data technologies and solutions are having on the highly dynamic healthcare industry
today, Paul. We’ll explore how analytics platforms and new healthcare-specific solutions together
are offering far greater insight and intelligence into how healthcare providers are managing
patient care, cost, and outcomes.
And we’re going to hear firsthand of how these new offerings, announced at the recent HP
Discover Conference in Barcelona, are designed specifically to give hospitals and care providers
new data-driven advantages as they seek to transform their organizations.
With that, please join me in welcoming our guest. We’re here with Patrick Kelly, Senior Practice
Manager at the Avnet Services Healthcare Practice. Welcome, Patrick.
Patrick Kelly: Thank you, Dana. It's great to be with both you and Paul today.
Gardner: Paul, let me start with you. Just to put this into some perspective, as you travel the
globe, as I know you do, how closely are you seeing an intersection between big data and the
need for analytics and healthcare in general. Is this a US-specific drive or is this something that’s
sweeping many markets as well?
Muller: It's undoubtedly a global trend, Dana. One statistic that sticks in my mind is that in 2012
what was estimated was approximately 500 petabytes of digital healthcare data across the globe.
2. That’s expected to reach 25,000 petabytes by the year 2020. So, that’s a 50-times increase in the
amount of digital healthcare data that we expect to be retaining.
The reasons for that is simply that having better data helps us drive better
healthcare outcomes. And we can do it in a number of different ways. We move
to what we call most evidence-based medicines, rather than subjecting people to
a battery of tests, or following a script, if you like.
Muller
The test or the activities that are undertaken with each individual are more
clearly tailored, based on the symptoms that they’re presenting with, and data
helps us make some of those decisions.
Basic medical research
The other element of it is that we’re now starting to bring in more people and engage more
people in basic medical research. For example, in the US, the Veterans Administration has a
voluntary program that’s using blood sample and health information from various military
veterans. Over 150,000 have enrolled to help give us a better understanding of healthcare.
We’ve had similar programs in Iceland and other countries where we were using long-term
healthcare and statistical data from the population to help us spot and address
healthcare challenges before they become real problems.
The other, of course, is how we better manage healthcare data. A lot of our
listeners, I’m sure, live in countries where electronic healthcare records are a
hot topic. Either there is a project under way or you may already have them, but
that whole process of establishing them and making sure that those records are
interchangeable is absolutely critical.
Then, of course, we have the opportunity of utilizing publicly available data. We’ve all heard of
Google being utilized to identify the outbreaks of flu in various countries based on the frequency
of which people search for flu symptoms.
So, there’s definitely a huge number of opportunities coming from data. The challenge that we’ll
find so frequently is that when we talk about big data, it's critical not just to talk about the size of
the data we collect, but the variety of data. You’ve got things like structured electronic healthcare
records. You have unstructured clinical notes. If you’ve ever seen a doctor’s scribble, you know
what I’m talking about.
You have medical imaging data, genetic data, and epidemiological data. There’s a huge array of
data that you need to bring together, in addition to just thinking what is the size of it. Of course,
overarching all of these are the regulatory and privacy issues that we have to deal with. It's a rich
and fascinating topic.
3. Gardner: Patrick Kelly, tell us a little bit about what you see as the driving need technically to
start to get a handle on this vast ocean of data and the huge potential for making good use of it?
Kelly: All the points Paul brought up were spot on. It really is a problem of how to deal with
such a deluge of data. Also, there’s a great change that’s being undertaken because of the
Affordable Care Act (ACA) legislation and that’s impacting not only the business model, but
also the need to switch to an electronic medical record.
Capturing data
From an electronic health record (EHR) perspective to date, IT is focused on capturing that
data. They take and then transpose what’s on a medical record into an electronic format.
Unfortunately, where we’ve fallen short in helping the business is taking that data that’s captured
and making it useful and meaningful in analytics and helping the business to gain visibility and
be able to pivot and change as the need to change the business model is being brought to bear on
the industry.
Gardner: For those of our audience who are not familiar with Avnet, please describe your
organization. You’ve been involved with a number of different activities, but healthcare seems to
be pretty prominent in the group now.
Kelly: Avnet has made a pretty significant investment over the last 24 months to bolster the
services side of the world. We’ve brought numbers up to around 2,000 new personnel on board
to focus on everything in the ecosystem, from -- as we’re talking about today -healthcare all the way up to hardware, educational services, and supporting
partners like HP. We happen to be HP’s largest enterprise distributor. We also
have a number of critical channel partners.
Kelly
In the last eight months, we came together and brought on board a number of
individuals who have deep expertise in healthcare and security. They work to
focus on building out healthcare practice that not only provides services, but is
also developing kind of a healthcare analytics platform.
Gardner: Paul Muller, you can’t buy healthcare analytics in a box. This is really a team support.
It seems to me an ecosystem approach. Tell me a little bit about what Avnet is, how important
they are in HP’s role, and, of course, there are going to be more players as well.
Muller: The listeners would have heard from the announcement over the last couple of days that
Avnet and HP have come together around what we call the HAVEn platform. HAVEn as we
might have talked about previously on the show stands for Hadoop, Autonomy, Vertica,
Enterprise Security, with the “n” being any number of apps.
4. The "n" or any numbers of apps is really where we work together with our partners to utilize the
platform, to build better big-data enabled applications. That’s really the critical capability our
partners have.
What Avnet brings to the table is the understanding of the HAVEn technology, combined with
deep expertise in the area of healthcare and analytics. Combining that, we've created this
fantastic new capability that we’re here to talk about today.
Gardner: Back to you, Patrick. Tell me a bit about what you think are the top problems that
need to be solved in order to get healthcare information and analytics to the right people in a
speedy fashion. What are our hurdles to overcome here?
Kelly: If we pull back the covers and look at some of the problems or challenges around
advancing analytics and modernization into healthcare, it’s really in a couple of areas. One of
them is that it's a pretty big cultural change.
Significant load
Right now, we have an overtaxed IT department that’s struggling to bring electronic medical
records online and to also deal with a lot of different compliance things around ICD-10 and still
meet meaningful use. So, that’s a pretty significant load on those guys.
Now, they’re being asked to look at delivering information to the business side of the world. And
right now, there's not a good understanding, from an enterprise-wide view, of how to use
analytics in healthcare very well.
So, part of the challenge is governance and strategy and looking at an enterprise-wide road map
to how you get there. From a technology perspective, there’s a whole problem around industry
readiness. There are a lot of legacy systems floating around that can range from 30-year-old
mainframes up to more modern systems. So there’s a great deal of work that has to go around
modernizing the systems and then tying them together. That all leads to problems with data
logistics and fragmentation and really just equals cost and complexity.
One of the traditional approaches that other industries have followed with enterprise data
warehouses and traditional extract, transform, load (ETL) approaches are just too costly, too
slow, and too difficult for healthcare system to leverage. Finally, there are a lot of challenges in
the process of the workflow.
Muller: These sound conceptual at a high level, but the impact on patient outcomes is pretty
dramatic. One statistic that sticks in my head is that hospitalizations in the U.S. are estimated to
account for about 30 percent of the trillions of dollars in annual cost of healthcare, with around
20 percent of all hospital admissions occurring within 30 days of a previous discharge.
5. In other words, we’re potentially letting people go without having completely resolved their
issues. Better utilizing big-data technology can have a very real impact, for example, on the
healthcare outcomes of your loved ones. Any other thoughts around that, Patrick?
Kelly: Paul, you hit a really critical note around readmissions, something that, as you mentioned,
has a real impact on the outcomes of patients. It's also a cost driver. Reimbursement rates are
being reduced because of failure. Hospitals would be able to address the shortfalls either in
education or follow-up care that end up landing patients back in the ER.
You’re dead on with readmissions, and from a big-data perspective, there are two stages to look
at. There’s a retrospective look that is a challenge even though it's not a traditional big-data
challenge. There’s still lot of data and a lot of elements to look into just to identify patients that
have been readmitted and track those.
But the more exciting and interesting part to this is the predictive, looking forward and seeing the
patient’s conditions, their comorbidity, how sick they are, what kind of treatment they receive,
what kind of education they received and the follow-up care as well as how they behave in the
outside world. Then, it’s bringing all that together and building a model to be able to determine
whether this person is at risk to readmit. If so, how do we target care to them to help reduce that
risk.
Gardner: We certainly have some technology issues to resolve and some cultural shifts to make,
but what are the goals in the medical field, in the provider organizations themselves? I’m
thinking of such things as cutting cost, but more that, things about treatments and experience and
even gaining perhaps a holistic view of a patient, regardless of where they are in the spectrum.
Waste in the system
Muller: You kind of hit it there, Dana, with the cutting cost. I was reading a report today, and
it was kind of shocking. There is a tremendous amount of waste in the system, as we know. It
said that in the US, $600 billion, 17.6 percent of the nation’s GDP, that is focused on healthcare
is really, potentially being misspent. A lot of that is due to unnecessary procedures and tests, as
well as operational inefficiency.
From a provider perspective, it's getting a handle on those unnecessary procedures. I’ll give you
an example. There’s been an increase in the last decade of elective deliveries, where someone
comes in and says that they want to have an early delivery for whatever reason. The impact,
unfortunately, is an additional time in the neo-natal intensive care unit (NICU) for the baby.
It drives up a lot of cost and is dangerous for both the mother and child. So, getting a handle on
where the waste is within their four walls, whether it’s operationally, unnecessary procedures, or
tests and being able to apply Lean Six Sigma, and some of these process is necessary to help
reduce that.
6. Then, you mentioned treatments and how to improve outcomes. Another shocking statistic is that
medical errors are the third leading cause of death in the US. In addition to that, employers end
up paying almost $40,000 every time someone receives a surgical site infection.
Those medical errors can be everything from a sponge left in a patient, to a misdose of a
medication, to an infection. Those all lead to a lot of unnecessary death as well as driving up cost
not only for the hospital but for the payers of the insurance. These are areas that they will get
visibility into to understand where variation is happening and eliminate that.
Finally, a new aspect is customer experience. Somehow, reimbursements are going to be tied to
-- and this is new for the medical field -- how I as a patient enjoy, for lack of better term, my
experience as the hospital or with my provider, and how engaged I had become in my own care.
Those are critical measures that analytics are going to help provide.
Gardner: We have a big chore ahead of us with the need for changing the way that IT is
conducted in these organizations. Obviously, what you’ve just described are different ways of
doing medicine based on data and analysis, but we also have this change in the way that
medicine is being delivered in the US. You mentioned the ACA. We’re moving from a paid by
procedure basis much more to a paid by the outcomes basis. This shifts things and transforms
things tremendously too.
Now that we have a sense of this massive challenge ahead of us, what are organizations like
Avnet and providers like HP with HAVEn doing that will help us start to get a handle on this?
Give us a sense, Patrick, of what you are bring into the market with your announcement in
Barcelona.
Kelly: As difficult as it is to reduce complexity in any of these analytic engagements, it's very
costly and time consuming to integrate any new system into a hospital. One of the key things is
to be able to reduce that time to value from a system that you introduce into the hospital and use
to target very specific analytical challenges.
From Avnet’s perspective, we’re bringing a healthcare platform that we’re developing around the
HAVEn stack, leveraging some of those great powerful technologies like Vertica and Hadoop,
and using those to try to simplify the integration task at the hospitals.
Standardized inputs
We’re building inputs from HL7, which is just a common data format within the hospital,
trying to build some standardized inputs from other clinical systems, in order to reduce the heavy
lift of integrating a new analytics package in the environment.
In addition, we’re looking to build a unified view of the patient’s data. We want to extend that
beyond the walls of the hospital and build a unified platform. The idea is to put a number of
different tools and modular analytics on top of that to have some very quick wins, targeted things
7. like we've already talked about, from readmission all the way into some blocking and tackling
operational work. It will be everything from patient flow to understanding capacity management.
It will bring a platform that accelerates the integration and analytics delivery in the organization.
In addition, we’re going to wrap that into a number of services that range from early assessment
to road map and strategy to help with business integration all the way around continuing to build
and support the product with the help system.
The goal is to accelerate delivery around the analytics, get the tools that they need to get
visibility into the business, and empower the providers and give them a complete view of the
patient.
Gardner: Paul, it’s very impressive when you look at what can be done when an ecosystem
comes together. When you look at applications, like what Avnet is delivering, it seems to me
they’re also changing the game in terms of who can use these analytics. We’re seeing
visualizations and we’re seeing modular approaches like Patrick described. How much of a sea
change are we seeing in terms of not just creating better analytics, but getting them to more
people, perhaps people had never really had access to this intelligence before.
Muller: That’s a critical element. It's simple, easy to understand, and visualizations are an
important element of it. The other is just simply the ability to turn these sorts of questions around
more quickly.
If you think about traditional medical studies and even something as simple as drug
development, in the past getting access to the data, being able to have a conversation with the
data, has been very difficult, because sourcing it, scrubbing it, correlating it, processing it has
taken years.
Even simple queries could take days to run. It’s become more complex and you have to do things
like look for correlation across longitudinal records or understanding unstructured clinical notes
that have been written by a doctor or, more importantly, by different doctor's. Each of them is
writing something similar, but in a different way. Then, there’s the massive volume of
information involved. Patrick touched on some of the behavioral aspects or lifestyle choices
people make.
The ability to take all of that information at one time and have a conversation, where it's a slice
and dice it and interact with it, is another important aspect to the usability and the democratizing
access to some of that information. Whether, it would be the researchers or government officials
and health care workers looking for example for the potential outbreaks of disease or to plan a
better health care system, it’s not just great visualizations that are important. That certainly helps,
but it’s the immediacy of interaction that is going to make the biggest difference.
Gardner: Patrick, when you do these basic infrastructure improvements, when you create a
different culture to make the data analysis available fast, you start to get towards that predictive,
rather then reactive, approach. Do you have some sense or even examples of what good can
come of this? Are there some tangible benefits, some soft benefits, to get as a payback. I’m
8. thinking clearly pretty quickly because we probably need to demonstrate value rather soon in this
environment?
About visibility
Kelly: Dana, any first step with this is about visibility. It opens the eyes around processes in
the organization that are problematic and that can be very basic around things like scheduling in
the OR and utilization of that time to length of stay of patients.
A very a quick win is to understand why your patients seem to be continually having problems
and being in the bed longer then they should be. It’s being able, while they're filling those beds,
to redirect care, case workers, medical care, and everything necessary to help them get out of the
hospital sooner and improve their outcomes.
A lot of times, we've seen a look of surprise when we've shown, here is the patient who has been
in for 10 days for a procedure that should have only been a two-day stay, and really giving
visibility there. That’s the first step, though very basic.
As we start attacking some of these problems around hospital-based infection, we help the
provider make sure that they are covering all their bases and doing kind of the best practices, and
eliminating the variation between each physician and care provider, you start seeing some real
tangible improvements and outcomes in saving peoples lives.
When you see that from any population be it stroke, readmissions -- as we talked about earlier -with heart failure and being able to make sure those patients are avoiding things like pneumonia,
you bring visibility.
Then, in predictive models and optimizing how the providers and the caregivers are working is
really key. There are some quick wins, and that’s why traditionally we built these master
repositories that we then built reports on top of. It’s a year and a half to delivery for any value,
and we’re looking to focus on very specific use cases and trying to tackle them very quickly in a
90- to 120-day period.
Gardner: Patrick, do you have any early-adopter examples you can provide for us, so that we
have a sense of what types of organizations are putting this into place, what they’ve done first,
and what have been the outcomes?
Kelly: We're partnering with a 12-hospital health care system, dealing with again some blocking
and tackling around understanding better how to utilize their physician network.
A challenge for a hospital that has acquired a number of physicians is how to get visibility into
those physician practices. How do you understand the kinds of things we've talked about -- cost,
patient experience, outcomes -- out in the wild, in the primary care offices, and in the specialty
offices? That data has traditionally just been completely segmented from the hospital systems.
9. The challenge is building tools that are going to be leveraged by the physician themselves, as
well as the hospitals and at an executive level, and utilizing that information to help optimize
how those practices are running. It’s kind of a basic problem for most businesses, but it's
something very real for hospitals to deal with.
Massive opportunity
Gardner: Paul Muller, this seems to be a massive opportunity, something that will be going on
from many years with HP, Vertica, and HAVEn. Trillions of dollars have been spent on ways that
can give us better patient experiences, higher health rates, lower mortality rates. So, it’s a win,
win, win, right? The hospitals win, the insurers win, the governments win, the patients win, the
doctors win. What sort of opportunity is this and how is HP going at it?
Muller: You’ve absolutely nailed the assessment there. It’s an all round benefits. A healthy
society is a healthy economy. That’s pretty crystal clear to everybody. The opportunity for HP
and our partners is to help enable that by putting the right data at the finger tips of the people
with the potential to generate life saving or lifestyle improving insights. That could be
developing a new drug, improving the impatient experience, or helping us identify longer-term
issues like genetic or other sorts of congenital diseases.
From our perspective, it’s about providing the underlying platform technology, HAVEn, as the
big data platform. The great partner ecosystem that we've developed in Avnet is a wonderful
example of an organization that’s taken the powerful platform and very quickly turned that into
something that can help not only save money, but as we just talked about, save lives which I
think is fantastic.
Gardner: Patrick, as we wrap up, we can certainly see many ways in which these technologies
in this analysis can be used immediately for some very significant benefits. But I’m thinking that
it also puts in place a tremendous foundation for what we know is coming in the future -- more
sensors, more information coming from the patients, more telemetry, so that it's coming
remotely, maybe from their bodies, while they are out of the hospital.
We know that mobile devices are becoming more and more common, not only in patient
environments, but in the hospitals and the care-provider organizations. We know the cloud and
hybrid cloud services are becoming available and can distribute this data and integrate it across
so many more types of processes.
It seems to me that you not only get a benefit from getting to a big-data analysis capability now,
but it puts you in a position to be ready when we have more types of data -- more speed, more
end points, and, therefore, more requirements for what your infrastructure, whether on premises
or in a cloud, can do. Tell me a little bit about what you think the Avnet and HP Solution does for
setting you up for these future trend?
10. Kelly: At this point, technology today is just not where it needs to be, especially in healthcare.
An EKG spits out 1,000 data points per second. There is no way, at this point, without the right
technology, that you can actually deal with that.
If we look to a future where providers do less monitoring, so less vital collection, fewer
physicals, and all of that is coming from your mobile device, it's coming from intelligent
machines. There really needs to be an infrastructure in place to deal with that.
I spent a lot of time working with Vertica even before Avnet. Vertica, Hadoop, and leveraging
economy in the area of unstructured data is a technology that is going to allow the scalability and
the growth that’s going to be necessary to leverage the data that we need to make it an asset and
much less challenge and allow us to transform healthcare.
The key to that is unlocking this tremendous trove of data. In this industry, as you guys have
said, it’s very life and death, versus it's just purely a financial incentive.
Targeting big data
Muller: I might jump in on that as well, Dana. This is an important point that we can’t lose
sight of as well. As I said when you and I hosted the previous show, big data is also a big target.
One of the things that every healthcare professional and regulator, every member of the public
needs to be mindful of is a large accumulation of sensitive personally identifiable information
(PII).
It's not just a governance issue, but it's a question of morals and making sure that we are doing
the right thing by the people who are trusting themselves not just with their physical care, but
with how they present in society. Medical information can be sensitive when available not just to
criminals but even to prospective employers, members of the family, and others.
The other thing we need to be mindful of is we've got to not just collect the big data, but we've
got to secure it. We've got to be really mindful of who’s accessing what, when they are accessing,
are they appropriately accessing it, and have they done something like taking a copy or moved it
else where that could indicate that they have malicious intent.
It's also critical we think about big data in the context of health from a 360-degree perspective.
Kelly: That’s a great point. And to step back a little bit on that, one of the things that brings me a
little comfort around that is there are some very clear guidelines in the way of HIPAA around
how this data is managed, and we look at it from baking the security into it, in everything from
the encryption to the audit ability.
But it’s also training the staff working in these environments and making sure that all of that
training is put in place to ensure the safety of that data. One of the things that always leaves me
11. scratching my head is that I can go down the street into the grocery store and buy a bunch of
stuff. By the time I get to register, they seem to know more about me than the hospital does when
I go to the hospital.
That’s one of the shocking things that make you say you can’t wait until big data gets here. I
have a little comfort too, because there are at least laws in place to try to corral that data and
make sure everyone is using it correctly.
Gardner: Very good. I’m afraid we’ll have to leave it there. Please join me in thanking our cohost Paul Muller, the Chief Software Evangelist at HP. Thanks so much, Paul.
Muller: Thank you for having me back on the show again, Dana. I really love being here.
Gardner: Of course and also a thank you to the supporter of this series, HP Software. And a
reminder to our audience to carry on the dialog with Paul Muller through the Discover group on
LinkedIn. We've been having a discussion about how big data and healthcare are intersecting and
how there’s a huge opportunity for far greater insight and intelligence into how healthcare
providers are managing their patient’s care, the cost and ultimately the outcomes.
And I’d also like to remind you that you can access this, and other episodes of the HP Discover
podcast series on iTunes under BriefingsDirect.
And, of course, a big thank you to our guest. We’ve been talking with Patrick Kelly, Senior
Practice Manager at the Avnet Services Healthcare Practice about a big announcement at the HP
Discover conference in Barcelona. Thanks so much, Patrick.
Kelly: Thank you, guys.
Gardner: This is Dana Gardner, Principal Analyst at Interarbor Solutions, your co-host for this
ongoing series. And lastly, a big thank you to our audience for joining this HP Discover
Discussion, and reminder to come back next time.
Listen to the podcast. Find it on iTunes. Sponsor: HP
Transcript of a BriefingsDirect on the need to tap the potential of big data to improve healthcare
delivery and how the technology to do that is currently lagging. Copyright Interarbor Solutions,
LLC, 2005-2013. All rights reserved.
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